Most SMEs do not survive more than five years in the Peruvian market and one of the main reasons is the inefficient logistics administration and inventory control. This represents a serious problem because these businesses play a fundamental role in the growth of the country’s economy and trade. Therefore, this research focuses on the analysis of 4 engineering tools applied integrally to improve order fulfillment of a trading company of household appliances. This model makes use of tools such as: ABC classification, time series models, fuzzy AHP and EOQ. After model validation, it was observed that order fill rate increased from 80,40% to 95,61%, demonstrating the positive impact that could be generated for the business.